MD-Roofline: A Training Performance Analysis Model for Distributed Deep Learning. - Tianhao Miao; Qinghua Wu 004; Ting Liu; Penglai Cui; Rui Ren; Zhenyu Li 001; Gaogang Xie (ISCC, 2022)

Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training. - Ting Liu; Tianhao Miao; Qinghua Wu 004; Zhenyu Li 001; Guangxin He; Jiaoren Wu; Shengzhuo Zhang; Xingwu Yang; Gareth Tyson; Gaogang Xie (WWW, 2022)

Enabling In-Network Floating-Point Arithmetic for Efficient Computation Offloading. - Penglai Cui; Heng Pan; Zhenyu Li 001; Penghao Zhang; Tianhao Miao; Jianer Zhou; Hongtao Guan; Gaogang Xie (IEEE Trans. Parallel Distributed Syst., 2022)

Grace: Interpretable Root Cause Analysis by Graph Convolutional Network for Microservices. - Rui Ren; Yang Wang 147; Fengrui Liu; Zhenyu Li 001; Gareth Tyson; Tianhao Miao; Gaogang Xie (IWQoS, 2023)